Lead Data Scientist - Healthcare

Tiger Analytics Inc.

About The Position

Tiger Analytics is a fast-growing advanced analytics consulting firm specializing in Data Science, Machine Learning, and AI. They are a trusted analytics partner for Fortune 500 companies, recognized by Forrester and Gartner. The firm is building a global analytics consulting team and is seeking an experienced Lead Data Scientist. This role involves driving advanced analytics initiatives to improve forecasting model accuracy and developing Generative AI solutions for explainability. The position requires a strong background in machine learning, forecasting, deep learning, and hands-on healthcare domain understanding.

Requirements

  • 8–10 years of experience in Data Science / Machine Learning roles.
  • Strong hands-on expertise in Forecasting models (time series, demand forecasting, predictive analytics).
  • Experience with Deep Learning frameworks such as TensorFlow, PyTorch, or Keras.
  • Proven experience building Generative AI / Explainability models using LLMs, SHAP, LIME, or similar frameworks.
  • Mandatory experience working in the Healthcare domain.
  • Strong programming skills in Python, SQL, and ML libraries.
  • Excellent stakeholder communication and leadership skills.

Nice To Haves

  • Experience with cloud platforms such as AWS, Azure, or GCP preferred.

Responsibilities

  • Lead the design, development, and enhancement of forecasting models to improve prediction accuracy and business outcomes.
  • Build and deploy advanced Deep Learning models for large-scale structured and unstructured datasets.
  • Develop Generative AI / Explainable AI solutions to provide transparent and interpretable insights from predictive models.
  • Analyze healthcare datasets including claims, patient, provider, operational, or clinical data.
  • Collaborate with business stakeholders, product teams, and engineering teams to translate business challenges into scalable AI solutions.
  • Monitor model performance, retrain models, and optimize algorithms for production environments.
  • Mentor junior data scientists and provide technical leadership across the project.
  • Ensure compliance with healthcare data privacy and governance standards.
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